Jobs at Djinni

Project Description

Our Customer is one of the biggest companies on the market of home entertainment consumer electronics devices that strives to provide their clients with high-quality products and services.

Job Description

• 3+ years of developing and bolstering automated QA systems and associated test strategies
• Good coding Python skills
• Experience in developing and supporting testing frameworks, and developing automated test scripts (would be a plus)
• Understanding of Page Object pattern, knowledge of other automation patterns;
• Good working knowledge of at least one Linux/Unix-based platform as well as Windows;
• Experience in QA methodologies, a clear understanding of QA processes and artifacts;
• Experience with Scrum/Agile;
• Good communication and problem-solving skills;
• Excellent written and verbal English communication skills, developed interpersonal skills;
• Highly motivated, energetic, and able to easily switch between assignments. Ready for challenges!

Job Responsibilities

Working with the solid automation test framework and infrastructure;
Developing new and updating existing automation scripts;
Code review;
Debugging issues and creating bug reports;
Documentation creation;
Communication with international teams (US, UK)
Manual work: about 20%

At TechBiz Global, we provide recruitment services to top clients from our international portfolio. We are currently looking for a Senior Data Scientist with strong hands-on experience in training AI models, particularly Large Language Models (LLMs) and Small Language Models (SLMs), using GPU infrastructure and real-world datasets.

The ideal candidate should be based in Poland and able to clearly demonstrate their technical expertise, explain the tools and frameworks they use, and describe the complete model-training process—from data preparation to deployment and performance optimisation.
 

Key Responsibilities

• Train, fine-tune, and optimise LLMs and SLMs using GPU infrastructure.
• Build and manage end-to-end machine learning training pipelines.
• Prepare, clean, structure, and process large volumes of real-world data.
• Select appropriate models, frameworks, tools, and training approaches based on project requirements.
• Apply techniques such as supervised fine-tuning, transfer learning, prompt tuning, and parameter-efficient fine-tuning.
• Monitor model performance and improve accuracy, speed, scalability, and resource utilisation.
• Work with structured, unstructured, time-series, telemetry, log, and streaming data.
• Clearly document and explain the tools, methods, and technical decisions used throughout the model-training process.
• Collaborate with engineering, data, and business teams to move models from experimentation into production.
• Troubleshoot issues related to model quality, training stability, GPU performance, and data pipelines.

Requirements: 

• Proven professional experience as a Data Scientist, Machine Learning Engineer, AI Engineer, or similar role.
• Strong hands-on experience training or fine-tuning LLMs and/or SLMs.
• Practical experience using GPUs for AI model training.
• Strong Python programming skills.
• Experience with machine learning and deep-learning frameworks such as:
  • PyTorch
  • TensorFlow
  • Hugging Face Transformers
• Experience with GPU-related technologies and environments, such as CUDA, distributed training, cloud GPU platforms, or GPU clusters.
• Strong understanding of model-training workflows, including data preparation, tokenisation, model selection, training, evaluation, and optimisation.
• Ability to clearly explain previous AI projects, tools used, technical challenges, and achieved results.
• Experience working with large and complex datasets.
• Good English communication skills.
• Based in Poland.
   

Relevant Industry Experience

• Experience in one or more of the following industries or data environments would be highly valuable:
• E-commerce
• Finance or banking
• Insurance
• Healthcare or medical data
• Telemetry and IoT data
• Application or system logs
• Real-time and streaming data

• High-volume enterprise data environments

   

Nice to Have

• Experience with distributed model training.
• Experience with LoRA, QLoRA, PEFT, quantisation, or model compression.
• Experience with MLOps tools and model deployment.
• Knowledge of Docker, Kubernetes, MLflow, or similar technologies.
• Experience using AWS, Azure, or Google Cloud for AI workloads.
• Experience deploying AI models into production environments.
• Knowledge of data privacy, security, and governance requirements.

About AIstats

AIstats is transforming the football data market by moving from 2D to 3D, powered by a cutting-edge Computer Vision and Machine Learning ecosystem that unlocks deep insights for both fans and professionals.

In 1.5 years, the Warsaw-based startup has grown from $0 to $3M ARR and secured over $2M in funding. As an AI-first startup, we’re looking for passionate builders who want to create something big and shape the future of football intelligence with us.

What we build

Advanced Football Analytics - a mobile app for football fans and bettors that reached 100k MAU in less than a year, featuring advanced statistics powered by our proprietary ML and Computer Vision technologies.

Advanced Analytics for Football Clubs - a next-generation analytics platform helping football clubs, scouts, and agents make smarter decisions both on the pitch and in the transfer market. Thanks to our early leadership in skeletal tracking data, AIstats secured several Tier-1 club partnerships within months of launching the platform.

Key Responsibilities

• Development of new HTTP and WebSocket endpoints with integration of third-party APIs (REST/gRPC/GraphQL - depending on tasks).
• Writing unit and integration tests to ensure correct operation of APIs, including boundary cases and work with external services.
• Performing load testing and code profiling to identify bottlenecks and improve performance.
• Working closely with frontend, analytics and product teams - from discussing specifications to implementing solutions in production.

Requirements

Must have:

• Strong knowledge of Node.js and TypeScript, experience in REST/WebSocket API development.
• Experience with microservice architecture and interaction between services via RabbitMQ, Redis, TCP connections.
• Knowledge of PostgreSQL (query writing, indexing, transactions, migrations).
• Experience with MongoDB and understanding when it is appropriate to use it.
• Experience with Docker, understanding of how docker-compose works.
• Understanding of the principles of Nginx as a proxy server (including in the context of WebSocket/HTTPS).
• Proficiency with Socket.io, understanding of its features (e.g., rooms, reconnect, persistence, etc.).
• Experience in configuring logging, debugging and profiling backend code.

Will be a plus:

• Understanding how Billing systems work
• Experience with Elasticsearch: setting up and using it for full-text search.
• Load testing skills and tools (e.g. k6, Artillery, autocannon).
• Understanding and implementation of HTTPS, certificates, working via secure WebSocket.
• Experience with CI/CD and build automation in a Docker environment.
• Team development experience: code review, git flow, Jira/YouTrack/Linear.

What we offer

• Fully remote work format and flexible working hours.
• Competitive salary pegged to USD.
• 24 days of paid vacation and 15 additional paid days off (including sick leave, personal days and corporate holidays)
• A friendly communication culture, rapid product cycles, and transparent processes.
• Dynamic work environment with a team passionate about sports and technology.
• Opportunities for professional development and career growth.
• No micromanagement — just trust, ownership, and freedom to experiment.
• Mentorship and high-quality engineering feedback.

Join our team and help drive innovation in the football industry!

GR8_TECH builds B2B iGaming platforms for operators who play to lead.

We deliver full-cycle, high-impact tech designed to scale — from seamless integrations and expert consulting to long-term operational support. Our platform powers millions of active players and drives real business growth. Call it what it is: the iGaming Platform for Champions.

With 1000+ GR8 people across locations and time zones, we don’t just ship technology — we help operators build success stories across brands, markets, and geos.

Our ambition drives us. Our people make it real.

If you’re a challenger in spirit and a champion in action — join us.
 

Why this role exists:

This role exists to ensure the technical stability and data integrity of our core platform by localizing and resolving complex, non-standard incidents. You’ll help us maintain reliable platform operations by taking full ownership of deep technical triage, shielding engineering teams from unverified bugs, and mentoring junior support specialists.
 

What you’ll drive:

Deep Investigation & Core Operations

• Investigate complex failures: Autonomously diagnose non-standard platform requests, nested configuration issues, and microservice communication breakdowns.
• Determine root causes: Differentiate between platform software defects, database mismatches, and misconfigured complex settings across core systems.
• Assist junior tiers: Guide Junior L2 and adjacent support teams through advanced platform configuration issues and troubleshooting pathways.

Advanced Troubleshooting & Engineering Shielding

• Trace microservice flows: Filter structured logs in Kibana or OpenSearch by matching cross-system identifiers (Trace IDs, Request IDs, Session IDs).
• Inspect API and error stacks: Validate API endpoints and response payloads in Postman and interpret stack traces to locate software or database failures.
• Escalate validated defects: Produce structured, detailed bug reports for L3/QA containing logs, raw payloads, and business impact context.
• Shield L3 teams: Drive high independent resolution rates (L2 Resolution Rate) to prevent configuration issues from reaching core development.

SLA Management & Quality Control

• Prioritize domain tasks: Manage assigned incidents independently under strict B2B SLA constraints while prioritizing platform impact.
• Reduce reopen rates: Deliver fully validated technical solutions and configuration adjustments to prevent repeated ticket reopens.

Knowledge Sharing & Mentorship

• Build technical runbooks: Create and maintain step-by-step diagnostic workflows for L1 and Junior L2 support tiers.
• Mentor team members: Conduct knowledge-sharing sessions on platform features, inner architecture, and log-tracing techniques.
   

What makes you a GR8 fit:

Must-have

• Platform support experience: 3+ years in L2 technical support, systems analysis, or technical operations of product/B2B SaaS platforms..
• Log analysis & distributed tracing: Strong skills in Kibana or OpenSearch using custom filters, log aggregation, and ID tracing across microservices (Trace, Request, Session IDs).
• API testing & debugging: Practical experience testing platform API endpoints, request/response payloads, and authentication headers using Postman (or similar tools).
• Core web & auth architecture: Deep understanding of distributed sessions, OAuth/JWT authentication flows, and reading error stack traces.
• Advanced ticketing mastery: Proficiency in Jira/Jira Service Management, including JQL filters, custom queues, and operational dashboards under strict SLAs.
• Languages: Intermediate+ English (B1–B2) and fluent Ukrainian or Russian.

Nice-to-have

• Direct experience writing basic SQL queries to inspect platform database states.
• Strong familiarity with SDLC processes and hotfix lifecycle steps to speak the same language as QA and L3 engineers.
• Proven experience creating runbooks or training junior engineers in technical support environments.
   

Why you’ll love working here: 

Benefits Cafeteria — annual budget you allocate to:

Sports • Medical • Mental health • Home office • Languages.

Work-life & support

• Paid maternity/paternity leave + monthly childcare allowance.
• 20+ vacation days, unlimited sick leave, emergency time off.
• Remote-first + tech support + coworking compensation.
• Team events (online/offline/offsite).
• Learning culture with internal courses + growth programs.
   

Our culture & core values:

GR8_TECH culture is how we win — through trust, ownership, and a growth mindset. We move fast, stay curious, and keep it real, with open feedback, room to experiment, and a team that’s got your back.

FUELLED BY TRUST: we’re open, honest, and have each other’s backs.

OWN YOUR GAME: we take initiative and own what we do.

ACCELER8: we move fast, focus smart, and keep it simple.

CHALLENGE ACCEPTED: we grow through challenges and stay curious.

BULLETPROOF: we’re resilient, ready, and always have a plan.

GR8_TECH builds B2B iGaming platforms for operators who play to lead.

We deliver full-cycle, high-impact tech designed to scale — from seamless integrations and expert consulting to long-term operational support. Our platform powers millions of active players and drives real business growth. Call it what it is: the iGaming Platform for Champions.

With 1000+ GR8 people across locations and time zones, we don’t just ship technology — we help operators build success stories across brands, markets, and geos.

Our ambition drives us. Our people make it real.

If you’re a challenger in spirit and a champion in action — join us.
 

Why this role exists:

This role exists to ensure the technical reliability of our Engagement-CRM platform for B2B operators. You’ll help us maintain high service quality by performing initial request reviews, diagnosing technical issues using logs and admin panels, and guiding clients on correct system configurations using ready-made runbooks.
 

What you’ll drive:

B2B Core Operations & Engagement-CRM Handling

• Process incoming tickets: Receive and review requests from operators' teams regarding incorrect behavior or issues in the Engagement-CRM system.
• Verify system data: Check user data, activity statuses, campaign parameters, and system details in the platform's internal admin panel.
• Advise support lines: Guide related support teams and operators on standard configuration settings within Engagement-CRM.

Initial Troubleshooting & Escalation

• Isolate incidents: Search logging systems (Kibana/OpenSearch) using ready patterns (such as user ID or activity ID) to find root causes.
• Inspect frontend & delivery: Use Browser DevTools (Network and Console tabs) to identify user-side errors and verify notification delivery statuses across internal and external panels.
• Prepare complete escalations: Collect essential technical details (identifiers, logs, screenshots, error codes) and transfer verified software defects to Middle-level engineers.

SLA & Quality Focus

• Meet B2B SLAs: Ensure full compliance with internal and external response and resolution time targets for all assigned tickets.
• Maintain ticket accuracy: Verify data and fill out all mandatory fields before moving tasks to the next support tier.
• Explain technical errors: Translate complex system errors into simple, understandable language when communicating answers to clients.

Knowledge Base Contribution

• Update runbooks: Keep simple, step-by-step diagnostic instructions and runbooks up to date for the L1 support team.
   

What makes you a GR8 fit:

Must-have

• B2B support experience: 2+ years in technical support, customer service (B2B), or operating product platforms using ticketing tools like Jira, Jira Service Management, or ServiceNow.
• Log searching basics: Practical skills in searching logs (Kibana/OpenSearch) using basic identifiers (user ID, activity ID).
• Web & API understanding: Basic knowledge of REST API principles (requests/responses, standard 4xx/5xx HTTP error codes).
• DevTools & channel knowledge: Experience using Browser DevTools (Network and Console tabs) and a basic understanding of notification delivery gateways (push, SMS, email).
• Support lifecycle awareness: Understanding of multi-tier support workflows, incident triage, and SLA deadlines.
• Attention to detail: Strong focus on identifying data mismatches in numbers, currencies, and system logs under tight deadlines.
• Languages: Intermediate English (B1–B2) for technical documentation and internal notes; fluent Ukrainian or Russian for daily communication.

Nice-to-have

• Practical experience working in a runbook-driven environment with clear checklists.
• Foundational awareness of how bugs are logged and tracked within the Software Development Lifecycle (SDLC).
• Experience writing simple, step-by-step technical guides or runbooks for junior support tiers.
   

Why you’ll love working here: 

Benefits Cafeteria — annual budget you allocate to:

Sports • Medical • Mental health • Home office • Languages.

Work-life & support

• Paid maternity/paternity leave + monthly childcare allowance.
• 20+ vacation days, unlimited sick leave, emergency time off.
• Remote-first + tech support + coworking compensation.
• Team events (online/offline/offsite).
• Learning culture with internal courses + growth programs.
   

Our culture & core values:

GR8_TECH culture is how we win — through trust, ownership, and a growth mindset. We move fast, stay curious, and keep it real, with open feedback, room to experiment, and a team that’s got your back.

FUELLED BY TRUST: we’re open, honest, and have each other’s backs.

OWN YOUR GAME: we take initiative and own what we do.

ACCELER8: we move fast, focus smart, and keep it simple.

CHALLENGE ACCEPTED: we grow through challenges and stay curious.

BULLETPROOF: we’re resilient, ready, and always have a plan.

GR8_TECH builds B2B iGaming platforms for operators who play to lead.

We deliver full-cycle, high-impact tech designed to scale — from seamless integrations and expert consulting to long-term operational support. Our platform powers millions of active players and drives real business growth. Call it what it is: the iGaming Platform for Champions.

With 1000+ GR8 people across locations and time zones, we don’t just ship technology — we help operators build success stories across brands, markets, and geos.

Our ambition drives us. Our people make it real.

If you’re a challenger in spirit and a champion in action — join us.
 

Why this role exists:

As a Senior Full-Stack .NET Engineer, you will play a critical role in designing, developing, and maintaining enterprise-level applications across our backend stack based on .NET, Node.js, Go and related technologies. You will lead technical discussions, mentor junior team members, and collaborate with cross-functional teams to deliver scalable and robust software solutions that meet business requirements and industry standards. This role offers the opportunity to make a significant impact, shape product direction, and contribute to the growth and success of the team.
 

What you’ll drive:

Architecture & Execution

• Design and implement scalable, efficient, and secure enterprise-level software architectures across our .NET stack.
• Write, test, and debug complex code for high-load systems with strict latency and reliability requirements.
• Deliver clean code to production in a timely manner, balancing business speed with technical excellence.
• Identify and eliminate performance bottlenecks across CPU, memory, I/O, and database layers.

Engineering Quality & Observability

• Conduct thorough code reviews to enforce strict code quality, security, and industry best practices.
• Develop and enforce testing protocols to guarantee software reliability and flawless production performance.
• Implement and monitor production observability frameworks, including logging, metrics, monitoring, and distributed tracing.
• Create and maintain concise, meaningful technical documentation for system designs and architecture.

Collaboration & Leadership

• Provide guidance and mentorship to junior and mid-level engineers, actively fostering their technical growth.
• Partner with Delivery Managers to lead and manage software development projects, ensuring predictable, high-quality delivery.
• Collaborate closely with product management, design, and operations teams to align technical execution with business goals.
• Communicate effectively with stakeholders, translating complex technical concepts into clear project updates.
   

What makes you a GR8 fit:

• Minimum 5 years of experience in a similar senior engineering role with a track record of leadership, strong technical skills, and successful project delivery.
• Deep hands-on expertise in C# and .NET (Core / .NET 6+).
• Commercial experience or a strong willingness to learn and work with Golang and Node.js.
• Experience designing and evolving high-load backend systems with strict latency and reliability requirements.
• Experience working REST API and web services.
• Strong understanding of async/await, multithreading, thread safety, memory management, and performance optimization.
• Ability to identify and eliminate performance bottlenecks across CPU, memory, I/O, and database layers.
• Experience designing and operating microservice-based systems.
• Experience working with relational and non-relational databases.
• Understanding of transactions, isolation levels, locking, concurrency, indexing strategies, and performance tuning.
• Experience working with containerized environments including Docker and Kubernetes.
• Understanding of CI/CD pipelines and automated delivery.
• Understanding of scalability, load balancing, auto-scaling, and disaster recovery.
• Understanding of production observability including logging, metrics, monitoring, and tracing.
   

Why you’ll love working here: 

Benefits Cafeteria — annual budget you allocate to:

Sports • Medical • Mental health • Home office • Languages.

Work-life & support

• Paid maternity/paternity leave + monthly childcare allowance.
• 20+ vacation days, unlimited sick leave, emergency time off.
• Remote-first + tech support + coworking compensation.
• Team events (online/offline/offsite).
• Learning culture with internal courses + growth programs.
   

Our culture & core values:

GR8_TECH culture is how we win — through trust, ownership, and a growth mindset. We move fast, stay curious, and keep it real, with open feedback, room to experiment, and a team that’s got your back.

FUELLED BY TRUST: we’re open, honest, and have each other’s backs.

OWN YOUR GAME: we take initiative and own what we do.

ACCELER8: we move fast, focus smart, and keep it simple.

CHALLENGE ACCEPTED: we grow through challenges and stay curious.

BULLETPROOF: we’re resilient, ready, and always have a plan.

Your future responsibilities:

• Develop and maintain scalable ETL/ELT processes for data collection, transformation, and loading
• Design and implement robust data pipelines for real-time and batch data processing
• Ensure data quality, consistency, and availability for analytical and operational systems
• Optimize query performance and database architecture
• Automate the deployment and monitoring of data infrastructure components
• Work closely with analytics, development, and business teams to implement data-driven solutions

Your experience and skills:

• 2+ years of relevant experience in data engineering
• We expect you to have solid commercial experience with Python, Groovy
• Deep knowledge of Apache NiFi and hands-on experience in building and administering complex data flows
• Proficient in PostgreSQL, understanding of architecture, experience in query optimization and data schema design
• Experience with Apache Kafka, building real-time data pipelines

Will be a plus:

• Experience with Apache Airflow, workflow organization, monitoring and automation
• Working with Apache Spark frameworks for distributed big data processing
• Experience with AWS Athena and S3, interactive query services
• Experience with Apache Iceberg, understanding of modern table formats for data lakes
• Experience with Kubernetes, containerisation and service orchestration

We offer what matters most to you:

• Competitive salary: we guarantee a stable income and annual bonuses for your personal contribution. Additionally, we have a referral reward program for attracting new colleagues to Raiffeisen Bank
• Social package: official employment, 28 days of paid leave, additional “maternity leave” for fathers, and financial assistance for parents upon the birth of children
• Comfortable working conditions: the possibility of a hybrid work format, offices equipped with shelters and generators, provision with modern equipment
• Wellbeing program: all employees have access to medical insurance from the first working day; consultations with a psychologist, nutritionist or lawyer; discount program for sports and shopping; family days for children and adults; massage in the office
• Learning and development: access to over 130 online educational resources; corporate training programs, online library, mentoring program
• A great team: our colleagues are a community where curiosity, talent and innovation are welcomed. We support each other, learn together and grow. You can find like-minded people in over 15 professional communities, reading or sports clubs
• Career opportunities: we encourage advancement within the bank between functions
• Innovation and technology. Infrastructure: AWS, Kubernetes, Docker, GitHub, GitHub actions, ArgoCD, Prometheus, Victoria, Vault, OpenTelemetry, ElasticSearch, Crossplain, Grafana. Languages: Java (main), Python (data), Go (infra, security), Swift (IOS), Kotlin (Andorid)Datastores: Sql-Oracle, PgSql, MsSql, Sybase. Data management: Kafka, AirFlow, Spark, Flink, we develop expertise in AI and actively integrate it into processes
• Support program for defenders: we preserve jobs and pay the average salary to mobilized people. We have a support program for veterans, and the Bank’s veteran community is developing. We are working to raise awareness among managers and teams on the issues of veterans’ return to civilian life. Raiffeisen Bank is recognized as one of the best employers for veterans (Forbes)

Why Raiffeisen Bank?

• Our main value is people, and we support and recognize them, educate them and involve them in changes. Join Raif’s team because for us YOU matter!
• One of the largest lenders to the economy and agricultural business among private banks
• Recognized as the best employer by EY, Forbes, Randstad, Franklin Covey, and Delo.UA
• The largest humanitarian aid donor among banks (Ukrainian Red Cross, UNITED24, Superhumans, СМІЛИВІ)
• One of the largest IT product teams among the country’s banks. • One of the largest taxpayers in Ukraine; 6.6 billion UAH were paid in taxes in 2023.

Opportunities for Everyone:

• Raif is guided by principles that focus on people and their development, with 5,500 employees and more than 2.7 million customers at the center of attention
• We support the principles of diversity, equality and inclusiveness
• We are open to hiring veterans and people with disabilities and are ready to adapt the work environment to your special needs
• We cooperate with students and older people, creating conditions for growth at any career stage

You matter at Raif!

Launch Labs is looking for a Middle QA Engineer to join one of our product teams and help ensure the quality, stability, and reliability of its web and mobile applications.

This is a hands-on role combining manual testing with a strong focus on test automation. Approximately 50% or more of your time will be dedicated to automation, with additional opportunities to expand automated coverage during lighter release periods.

The product ecosystem currently includes web and native mobile applications. Our web automation framework is built with Playwright and TypeScript. Mobile automation is still at an early stage, giving you the opportunity to help evaluate suitable tools, shape the automation approach, and contribute to building the initial framework.

You will work closely with developers, product managers, designers, and other stakeholders throughout the development lifecycle. Beyond identifying defects, you will help improve testing processes, strengthen automation coverage, identify risks early, and promote shared ownership of product quality across the team.

What You’ll Do:

Test Automation
 

• Spend approximately 50% or more of your time on test automation, depending on the release cycle.
• Develop, maintain, and improve automated tests for web applications using Playwright and TypeScript.
• Automate critical user journeys, regression scenarios, and high-risk product areas.
• Analyze failed automated tests, identify root causes, and improve test reliability.
• Integrate automated tests into the development and release processes.
• Expand automation coverage during non-release weeks.
• Help define the future mobile automation approach for applications.
• Evaluate suitable mobile automation tools and contribute to establishing the initial framework and processes.
   

Manual Testing
 

• Perform functional, regression, integration, exploratory, and usability testing.
• Test web applications across different browsers and screen sizes.
• Test native mobile applications
• Review product requirements, designs, and acceptance criteria before development and release.
• Identify, document, and track defects with clear reproduction steps, expected results, and supporting materials.
• Validate fixes and perform regression testing before releases.
• Monitor application quality after releases and help investigate production issues.
   

Quality Ownership
 

• Collaborate closely with developers, product managers, designers, and other stakeholders.
• Participate in planning, refinement, and release discussions.
• Identify quality risks early and communicate them clearly to the team.
• Contribute to test planning and define appropriate testing coverage for new features.
• Improve QA documentation, processes, and testing standards.
• Support the team in building a shared quality mindset rather than treating QA as the final stage of development.

What We’re Looking For
 

• At least 2–4 years of commercial experience in software quality assurance.
• Practical experience testing both web and mobile applications.
• Strong knowledge of manual testing techniques and software testing principles.
• Hands-on experience with test automation for web applications.
• Experience with Playwright and TypeScript, or strong experience with a similar automation stack and readiness to work with Playwright.
• Understanding of API testing and experience using tools such as Postman, Swagger, or similar.
• Experience testing REST APIs, client-server integrations, and data flows.
• Ability to create clear test cases, checklists, bug reports, and testing documentation.
• Understanding of browser developer tools, network requests, logs, and basic debugging.
• Experience working with task and bug-tracking systems such as Jira, Linear, ClickUp, or similar.
• Understanding of Agile development and release processes.
• English proficiency sufficient for daily communication, documentation, and team discussions.

Nice to Have
 

• Experience setting up an automation framework or significantly improving an existing one.
• Experience with mobile automation tools such as Appium, Maestro, Detox, or similar.
• Understanding of CI/CD pipelines and automated test execution.
• Experience with Git and code review workflows.
• Basic knowledge of SQL and database testing.
• Experience with performance, accessibility, or security testing.
• Interest in sports, fitness, baseball, coaching, or performance-tracking products.

What Success Looks Like

During the first months, you will:
 

• Take ownership of regression testing across the main platforms.
• Improve the stability and coverage of the existing Playwright automation suite.
• Automate critical web scenarios that currently require repeated manual verification.
• Establish clear priorities for automation based on product risks and release needs.
• Help the team evaluate and plan the initial mobile automation setup for iOS and Android.
• Contribute to a faster, more predictable, and more reliable release process.

Benefits:
 

• get 4 weeks of paid vacation each year for rest and adventures;
• work flexible hours for a better balance between work and personal life;
• enjoy medical insurance for your peace of mind;
• nurture your professional growth with the support of Launch Labs, as we'll pay for your professional courses and training;
• experience the freedom of remote work.

Project Description:

Reporting and Analytics BI team covers company-wide corporate reporting needs. Interacting with internal clients (Luxoft Executive, Engineering and Corporate functions management teams) we build Tableau reporting and data analysis covering different internal Luxoft processes and practices.
Our work is not just to produce dashboards and code, but, together with the business, dive into the essence of key processes and create an advantage for the company in the global market using data-driven decision making. The results energize us to set the bar higher and build best-in-class BI Project.
Our team is around 20 people and looking to expand. We use Tableau / Power BI as the main dashboarding tools and connect MS SQL database where we store most of the data

Responsibilities:

BI Reports Development
• Exploring the data from corporate systems and development the layer of reliable data sources together with the DWH team
• Design & development of outstanding dashboards and performing UAT with a customer
• Taking care of technical documentation that really helps customers to understand reports and allows the team to manage the content in efficient way
• Release preparation and presenting results to end-users
Project management
• Take part in regular syncs with customers on backlog prioritization, blockers, and fast-tracks resolving
• Take part in collecting and merging requirements from different customer groups
Development of data & analytics services
• Drive companywide projects like data catalog, self-service BI, glossary etc.
• Work on BI efficiency initiatives like access management and design excellence
• BI Governance - monitoring of background tasks (extracts, subscriptions, etc.), reports adoption & user's behavior

Mandatory Skills:

Analyst-engineer-dashboardologist-designer - all qualities are presented and one is pronounced
2+ year hands on experience with one of BI tools such as Tableau, Qlik, Power BI, etc.
Strong skills in SQL
Bachelor's Degree or higher education level
Strong data analysis skills
Good presentation and data visualization skills
Great attention to details, structured and analytical approach, critical and logical thinking

Nice-to-Have Skills Description:

Practical experience with other BI tools such as Qlik, Power BI, etc.

Looking for a Node.js developer who's not afraid of Rust, urgent tasks, and building infrastructure that actually matters.

The architecture, documentation, and project roadmap are already in place—the team is working according to clear plans, without chaos or reinventing the wheel. 
 

What we expect from you during our collaboration: 
- Developing and maintaining the backend using Node.js (NestJS, Express/Fastify) 
- Promptly resolving urgent issues on existing Node/Nest services 

- Gradual onboarding into the Rust project with support and mentorship from the project’s technical lead 

- Working with SQL and NoSQL databases (MongoDB, Redis) and microservice architecture

This role is a great fit if you: 

- Have 2–3 years of professional experience with Node.js 

- Have a solid understanding of NestJS, Express, or Fastify 

- Have experience working with SQL and NoSQL (MongoDB, Redis) and an understanding of microservice architecture 

- Are able to complete tasks independently without constant supervision from a manager 

- Willingness to learn Rust on the job—this is not a prerequisite, but an expectation for growth during the first few months 

- Experience with or interest in using AI tools in day-to-day development 

The following would be a plus: 

- Knowledge of Rust 

- Understanding of how DNS/CDN systems work
 

What we offer:

• 24 days of vacation + days off
• Remote work — choose any corner of the world to “be with us”
• Support for your learning and professional development through external courses and educational activities (conferences, webinars, etc.)
• Benefit Café: reimbursement for sports activities, English language courses, and mental health support
• Health insurance
• Financial support during difficult life situations—we understand that this is an extremely challenging time for every Ukrainian, so we’re here for you not only on the “good days” but also on the “tough ones.”
• Employee referral program. The opportunity to directly influence business development and hiring strategy at a rapidly growing international company.

Hiring process: Recruiter interview → Interview with Head of Dev → Reference check → Job Offer.

Reach out if you’re ready to quickly tackle practical tasks using Node.js and want to grow your skills in Rust and large-scale infrastructure systems.

Welcome to Drawer.AI!
We invite you to join our mission to shake up the AEC (Architecture, Engineering, and Construction) industry by transforming estimation processes. Harnessing the power of AI, we are revolutionising construction with Generative Design and Reinforcement Learning.

About us:
Our US-based startup raised investments from leading industry ventures and is ready for the next Series A Round in 2025. And this is just the beginning.

What it’s like to work with Drawer.AI:
Everyone’s voice counts here. Our tech team is open, flexible, and all about getting the job done to make solutions work. We’re not just writing code. We are changing how construction happens with advanced AI.
Explore opportunities to join our team and be at the forefront of innovation.
It’s time to build better!

Role Overview:

We’re looking for a detail-oriented and tech-savvy Customer Support Specialist to join our team for the afternoon shift (starting after 3:00 PM Kyiv time). In this role, you’ll be the first point of contact for users, helping them troubleshoot issues and ensuring a smooth experience with our platform during off-peak hours.

Key Responsibilities:

• Provide first-line technical support via email, chat, or ticketing system (HubSpot) during evening hours.

• Troubleshoot basic technical issues and assist users with step-by-step guidance.

• Escalate complex or unresolved issues to the Engineering team when needed.

• Accurately document customer interactions and solutions in our internal systems.

• Contribute to the internal knowledge base and support documentation.

• Maintain high customer satisfaction through timely and professional communication.

Requirements:

• English proficiency: Upper Intermediate or higher, especially in written communication.

• Basic technical literacy: Understanding of common platforms (browsers, email clients, mobile apps, etc.).

• Strong communication and problem-solving skills.

• Ability to follow procedures and accurately document work.

• High attention to detail and a customer-first mindset.

• Willingness to learn new tools and workflows quickly.

• Availability to work evening hours (after 6:00 PM Kyiv time).

Nice to have:

• Previous experience in a customer support or helpdesk role.

• Familiarity with support tools such as Zendesk, Intercom, HubSpot, or Jira.

• Basic understanding of APIs, error logs, or technical diagnostics.

• Experience working in remote or distributed teams.
 

Join our stellar team at Drawer.AI, where excellence meets opportunity! Experience the exceptional; enjoy a competitive salary and career advancement and the outstanding work environment we take pride in. Elevate your professional journey with us – because we believe in creating success together. Build a better future with us!

Welcome to Drawer.AI!

- What we do: AI-driven workflows that let estimators pull quantities and costs from complex PDF drawing sets.  
- Stage: Seed-funded, revenue-generating, aiming for a Series A in 2026.  
- Why join now: Real customers are pushing our roadmap faster than our current front-end team can build.

We’re looking for a Customer Success Specialist to work closely with our customers, help them succeed with the product, and be their main point of contact.

Key Responsibilities:

• Communicate with customers via chat, calls, and async messages.

• Run onboarding sessions, demos, and customer meetings.

• Review screen and call recordings to understand customer needs.

• Help customers adopt the product and get real value from it.

• Share customer feedback with Product and Sales teams.
 

Requirements:

• 1+ year of experience in Customer Support, Customer Success, or a similar role.

• Confident customer communication (chat & calls).

• Excellent spoken and written English.

• Comfortable working in a customer-facing role.

• Availability to work until 12:00 AM Kyiv time.

Nice to have:

• Experience with US-based customers.

• SaaS or startup background.

Join our stellar team at Drawer.AI, where excellence meets opportunity! Experience the exceptional; enjoy a competitive salary and career advancement and the outstanding work environment we take pride in. Elevate your professional journey with us – because we believe in creating success together. Build a better future with us!

Welcome to Drawer.AI!

- What we do: AI-driven workflows that let estimators pull quantities and costs from complex PDF drawing sets.  
- Stage: Seed-funded, revenue-generating, aiming for a Series A in 2026.  
- Why join now: Real customers are pushing our roadmap faster than our current front-end team can build.

We are looking for an Senior AI Engineer who will work at the intersection of LLMs, classical algorithms, and applied machine learning, focusing on designing and improving intelligent systems that solve complex real-world problems.

Key Responsibilities:

• Research and solve complex algorithmic and AI challenges.
• Design and improve AI algorithms using LLMs, ML, and mathematical optimization.
• Build production-ready AI solutions combining traditional algorithms with modern LLM architectures.
• Develop intelligent pipelines that transform engineering workflows using AI.
• Collaborate with Product and Engineering teams to bring cutting-edge AI research into production.
   

Requirements:

• 5+ years of experience in AI, Machine Learning, or Algorithm Engineering.
• Strong background in mathematics, optimization, and algorithm design.
• Deep understanding of machine learning and deep learning.
• Experience with object detection, segmentation, or computer vision models.
• Strong knowledge of graph algorithms, computational geometry, or optimization techniques.
• Hands-on experience with PyTorch, TensorFlow, or similar frameworks.
• Experience developing custom AI algorithms and integrating LLMs into real-world products.
• Experience deploying AI systems to production.
• Experience with AWS (S3, Lambda, Step Functions, Bedrock).
• Experience building LLM applications using LangChain or similar frameworks.

Nice to have:

• Graph Neural Networks (GNNs).
• PDF/SVG parsing and document intelligence.
• Django or FastAPI.
• RAG, AI agents, and multi-agent systems.
• Research publications, Kaggle, hackathons, or AI competitions.

Master’s or PhD in Computer Science, AI, Mathematics, or related fields.

Why this role?

• Work on real AI, not AI wrappers.
• Solve challenging problems at the intersection of LLMs, algorithms, optimization, and computer vision.
• Influence the core AI technology powering the next generation of electrical engineering automation.
• Collaborate directly with founders and own technical decisions from research to production.

Join our stellar team at Drawer.AI, where excellence meets opportunity! Experience the exceptional; enjoy a competitive salary and career advancement and the outstanding work environment we take pride in. Elevate your professional journey with us – because we believe in creating success together. Build a better future with us!

We are looking for a Senior AWS Cloud Network / Platform Engineer to join our team and help build, automate, and standardize AWS-native networking capabilities.

This is a hands-on role at the intersection of Platform Engineering and Cloud Networking. You will design reusable networking patterns, automate infrastructure provisioning with Terraform, and integrate networking capabilities into platform pipelines and onboarding workflows.
 

Responsibilities

• Design, implement, and standardize AWS-native networking solutions.
• Build and maintain networking patterns using AWS Cloud WAN, VPC Lattice, AWS Network Firewall, VPC, and related AWS networking services.
• Design and manage VPC connectivity, routing, network segmentation, and security controls.
• Replace legacy network controls with centralized, scalable, and policy-driven approaches.
• Develop and maintain reusable Terraform modules for network provisioning, configuration, and governance.
• Automate network infrastructure deployment across AWS environments and accounts.
• Integrate networking capabilities into platform engineering pipelines and infrastructure provisioning workflows.
• Support repeatable and self-service infrastructure onboarding patterns.
• Collaborate closely with Networking, Platform, DevOps, and Security teams to align routing, connectivity, security, and infrastructure standards.
• Contribute to the adoption of AWS-native networking services and infrastructure automation best practices.
• Troubleshoot complex AWS networking, routing, and connectivity issues.
   

Requirements

• Strong hands-on experience with AWS infrastructure and cloud networking.
• Deep understanding of AWS VPC, subnets, routing, Security Groups, network security, and connectivity patterns.
• Practical experience with AWS networking services such as Cloud WAN, Transit Gateway, Network Firewall, or similar technologies.
• Strong hands-on experience with Terraform, including designing and maintaining reusable Terraform modules.
• Experience managing infrastructure and networking through Infrastructure as Code (IaC) at scale.
• Strong understanding of networking fundamentals, including TCP/IP, routing, DNS, VPN, CIDR/subnetting, firewalls, and network segmentation.
• Experience automating infrastructure deployment through CI/CD or platform engineering pipelines.
• Ability to work across both DevOps/Platform Engineering and Networking domains.
• Strong troubleshooting and problem-solving skills.
• Ability to collaborate effectively with infrastructure, networking, security, and engineering teams.
   

Nice to Have

• Hands-on experience with AWS VPC Lattice.
• Experience with AWS Cloud WAN in multi-account or multi-region environments.
• Experience with AWS Firewall Manager.
• Knowledge of AWS Direct Connect, Site-to-Site VPN, BGP, and hybrid cloud networking.
• Experience with multi-account AWS environments and centralized network architectures.
• Experience with Platform Engineering, Internal Developer Platforms, or self-service infrastructure.
• Experience with Kubernetes/EKS networking, service mesh, or microservices networking.
• Experience with GitOps and modern infrastructure delivery practices.
   

What You’ll Achieve

• Automated and repeatable AWS network deployment patterns.
• Reusable Terraform-based networking capabilities.
• Centralized and policy-driven network governance.
• Scalable adoption of AWS-native networking services.
• Clear integration between platform engineering and networking layers.
• Simplified infrastructure onboarding and network provisioning for engineering teams.

We're looking for a senior QA engineer who's comfortable with both manual and automated testing and owns quality for a feature end to end. 

The team you'd join

• 2 backend developers (PHP / Symfony)
• 3 frontend developers (React / TypeScript)
• QA engineer
• DevOps / Security engineer
• Product Designer
• Engineering manager
   

What you'll do

• Own testing for new features end to end — from reading the spec and writing test cases through to verifying the release.
• Expand our Playwright coverage: extend the existing suite and automate the regression cases that currently take the most manual time.
• Run exploratory and manual testing where automating isn't worth the cost yet.
• Practice AI-assisted QA as part of your daily workflow — using Claude Code and MCP to draft and review test cases, test data, and documentation.

What we expect from you

• 6+ years of commercial QA experience covering both manual and automated testing
• Hands-on Playwright 
• Comfortable testing REST APIs and writing SQL against MySQL to verify data
• Solid test documentation: cases, checklists, and bug reports developers can act on without a follow-up conversation
• Hands-on practice with AI tooling in your QA workflow — you use it daily, not occasionally

• C1 (Advanced) English — comfortable in async written communication and on calls

   

Work format

• Fully remote (B2B contract) — work from anywhere

• Flexible hours within an 08:00 – 20:00 (CEST) window

   

Hiring process

Three stages, typically 2–3 weeks end to end:

1. Intro call (~45 min) — non-technical, mutual fit
2. Technical interview — QA / AQA
3. Conversation with the CTO — final alignment